




from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_lowerCamelCase      :						Any							=  logging.get_logger(__name__)

_lowerCamelCase      :						str							=  {
    """andreasmadsen/efficient_mlm_m0.40""": (
        """https://huggingface.co/andreasmadsen/efficient_mlm_m0.40/resolve/main/config.json"""
    ),
}


class 							UpperCamelCase_       (					UpperCAmelCase__	):

    '''simple docstring'''






    UpperCAmelCase__				    = '''roberta-prelayernorm'''


    def __init__(     self :      List[str]   ,					UpperCAmelCase__ :      Dict=50_265   ,					UpperCAmelCase__ :      List[str]=768   ,					UpperCAmelCase__ :      List[str]=12   ,					UpperCAmelCase__ :      int=12   ,					UpperCAmelCase__ :      Union[str, Any]=3_072   ,					UpperCAmelCase__ :      Any="gelu"   ,					UpperCAmelCase__ :      Any=0.1   ,					UpperCAmelCase__ :      int=0.1   ,					UpperCAmelCase__ :      str=512   ,					UpperCAmelCase__ :      List[str]=2   ,					UpperCAmelCase__ :      str=0.02   ,					UpperCAmelCase__ :      Tuple=1e-12   ,					UpperCAmelCase__ :      Union[str, Any]=1   ,					UpperCAmelCase__ :      Optional[int]=0   ,					UpperCAmelCase__ :      int=2   ,					UpperCAmelCase__ :      Optional[int]="absolute"   ,					UpperCAmelCase__ :      List[str]=True   ,					UpperCAmelCase__ :      Any=None   ,					**UpperCAmelCase__ :      Dict   ,					)		->Tuple:





           '''simple docstring'''

           super().__init__(pad_token_id=UpperCAmelCase__   ,					bos_token_id=UpperCAmelCase__   ,					eos_token_id=UpperCAmelCase__   ,					**UpperCAmelCase__)

           A__ 					=       vocab_size
           A__ 					=       hidden_size
           A__ 					=       num_hidden_layers
           A__ 					=       num_attention_heads
           A__ 					=       hidden_act
           A__ 					=       intermediate_size
           A__ 					=       hidden_dropout_prob
           A__ 					=       attention_probs_dropout_prob
           A__ 					=       max_position_embeddings
           A__ 					=       type_vocab_size
           A__ 					=       initializer_range
           A__ 					=       layer_norm_eps
           A__ 					=       position_embedding_type
           A__ 					=       use_cache
           A__ 					=       classifier_dropout


class 							UpperCamelCase_       (					UpperCAmelCase__	):

    '''simple docstring'''






    @property
    def 			SCREAMING_SNAKE_CASE				(     self :      Union[str, Any])		->Mapping[str, Mapping[int, str]]:





           '''simple docstring'''

           if self.task == "multiple-choice":
                  A__ 					=       {0: '''batch''', 1: '''choice''', 2: '''sequence'''}
           else:
                  A__ 					=       {0: '''batch''', 1: '''sequence'''}
           return OrderedDict(
               [
                   ('''input_ids''', dynamic_axis),
                   ('''attention_mask''', dynamic_axis),
               ])




"""simple docstring"""






from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase        =				logging.get_logger(__name__)

UpperCAmelCase        =				{"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/config.json"""}



class 			lowercase					( lowercase__		):
			lowercase        =     '''openai-gpt'''
			lowercase        =     {
			    '''max_position_embeddings''': '''n_positions''',
			    '''hidden_size''': '''n_embd''',
			    '''num_attention_heads''': '''n_head''',
			    '''num_hidden_layers''': '''n_layer''',
			}






			def __init__(self  :	List[Any]      ,SCREAMING_SNAKE_CASE_  :	str=40_478      ,SCREAMING_SNAKE_CASE_  :	Optional[int]=512      ,SCREAMING_SNAKE_CASE_  :	Union[str, Any]=768      ,SCREAMING_SNAKE_CASE_  :	Dict=12      ,SCREAMING_SNAKE_CASE_  :	Dict=12      ,SCREAMING_SNAKE_CASE_  :	int="gelu"      ,SCREAMING_SNAKE_CASE_  :	Dict=0.1      ,SCREAMING_SNAKE_CASE_  :	List[Any]=0.1      ,SCREAMING_SNAKE_CASE_  :	Dict=0.1      ,SCREAMING_SNAKE_CASE_  :	Optional[Any]=1e-5      ,SCREAMING_SNAKE_CASE_  :	List[str]=0.02      ,SCREAMING_SNAKE_CASE_  :	Union[str, Any]="cls_index"      ,SCREAMING_SNAKE_CASE_  :	str=True      ,SCREAMING_SNAKE_CASE_  :	Any=None      ,SCREAMING_SNAKE_CASE_  :	List[Any]=True      ,SCREAMING_SNAKE_CASE_  :	List[str]=0.1      ,**SCREAMING_SNAKE_CASE_  :	int      ,)       ->	int:





				"""simple docstring"""


				lowerCAmelCase												=  vocab_size
				lowerCAmelCase												=  n_positions
				lowerCAmelCase												=  n_embd
				lowerCAmelCase												=  n_layer
				lowerCAmelCase												=  n_head
				lowerCAmelCase												=  afn
				lowerCAmelCase												=  resid_pdrop
				lowerCAmelCase												=  embd_pdrop
				lowerCAmelCase												=  attn_pdrop
				lowerCAmelCase												=  layer_norm_epsilon
				lowerCAmelCase												=  initializer_range
				lowerCAmelCase												=  summary_type
				lowerCAmelCase												=  summary_use_proj
				lowerCAmelCase												=  summary_activation
				lowerCAmelCase												=  summary_first_dropout
				lowerCAmelCase												=  summary_proj_to_labels
				super().__init__(**SCREAMING_SNAKE_CASE_			)


